Rapid Detection and Response to Hidden and Unknown Threats

AI.isaac is a crucial layer to your existing SOC and SIEM to step up to proactive management of threats

AI.isaac's artifical intelligence platform detects complex, targeted attacks using big data analytics and enables rapid response by leveraging platform based orchestration and machine-learning algorithms. The Threat detection model is focused on discovering unknown threats by mapping the cyber kill chain as well as identifying relationships in data from the entire IT stack and large data from security alerts to detect hidden attack campaigns.

Active Discovery

Detect unknown threats spanning all stages of the cyber kill chain and uncover deeper links between alerts from existing rule based systems such as SIEM, IPS, WAF, DLP and others.

Active Response

Centralize and automate the incident response process from initial alert triage, investigation, and mitigation, to reporting and analytics.

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More Benefits

Predict Future Compromises

The platform constantly monitors the risk level of assets, users and external IPs based on historically generated alerts and a probabilistic model to select the assets, users or external sources that can cause the highest damage to the organization.

Ingest Once, Apply Everywhere

Lets you easily leverage ingested data for use in any attack detection or response, facilitating the detection of advanced targeted attacks and multiple threat integration.

Better Protection for Less Time and Effort

AI.isaac prioritizes alerts using a robust scoring mechanism, and automates and speeds up the response process across the organization.